11/11/2025 | News release | Distributed by Public on 11/11/2025 11:06
November 11, 2025
Google's RTB (Real-time bidding) Privacy Settlement - A Slow Burn with Fast Implications
Let's keep it simple. Google's RTB privacy settlement isn't an immediate earthquake, but it is a fault line. If you're a media planner, buyer, or strategist, now is the time to map your proximity and prepare for the shifts ahead.
In short:
So, no panic. But no reason to ignore it either.
We've seen this before. When Apple rolled out App Tracking Transparency, adoption surged almost overnight - not because users actively chose it, but because the default led them there.
If Google takes a similar approach, especially under regulatory pressure, signal loss could scale quickly. That would affect everything from CPMs and match rates to performance reporting and targeting precision. It won't happen tomorrow, but smart teams will start preparing now.
Some campaigns depend heavily on identifiable users - things like retargeting, audience suppression, or lookalike modeling. Others, such as contextual CTV or organic content strategies, do not. Audit your current plan and pinpoint where losing data signals would hit hardest.
This isn't just a targeting issue. It affects how platforms optimize, how performance is measured, and how audiences are structured. If your model falters when user-level data disappears, the solution needs to be built into your overall system - not patched with one-off fixes.
Consider reallocating toward ecosystems that provide more reliable audience connections and data integrity, such as:
• Retail media and walled gardens
• First-party CRM with clean rooms
• Contextual environments with strong editorial trust
• Programmatic guaranteed or PMP deals with logged-in audiences
Don't wait for precise adoption numbers. Instead, prepare for three practical thresholds:
Status quo holds, but start testing alternatives and building contingency plans.
Attribution becomes less reliable. Rebalance your media mix and revise CPA expectations.
Open web targeting becomes ineffective. Transition to first-party and context-led strategies before it becomes a scramble.
Strong ideas still cut through. When audience precision drops, creative relevance has to do more of the heavy lifting.
Strengthen your triangulation. Blend media mix modeling calibrated multi-touch attribution, and incrementality testing. Fix weak measurement links now - before signal loss exposes them.
Experience:
When targeting weakens, the conversion path must be sharper. Tighten your UX, CRM flows, and follow-up engagement. Every click will have to work harder.
This isn't a panic moment. It's a preparation moment. The next era of programmatic will reward brands and planners who understand systems, not just signals - and who build adaptable, privacy-resilient strategies long before the defaults change.
How much will this affect our targeting and performance? Will it hit Google Ads too?
The biggest impact will be in open web programmatic buying, where bid requests rely on real time identifiers like device IDs, IP addresses, and cookies. Once users start opting out, reach accuracy, frequency control, and retargeting efficiency will decline. Google Ads and YouTube will be less affected because they operate within logged in, consented environments, but performance data from Display & Video 360- and third-party exchanges will feel the pressure first.
Will changes happen all at once or gradually after 2026?
Google has set February 2026 as the switch on date, but the rollout is likely to phase in region by region, starting where privacy regulation is already strict (like the EU and UK). Expect a slow start followed by rapid adoption once defaults or platform nudges push users toward opt out. The real inflection point will not be day one, it will be when opt out becomes the path of least resistance.
Can we still do retargeting and lookalikes?
Yes, but only in environments where users are identifiable, such as signed in Google, Meta, or retail media platforms, or through your own CRM and clean room integrations. Retargeting on the open web will shrink, and lookalike modeling will weaken as third-party data fades. The long-term solution is to use first-party data as your foundation and build segmentation logic around that.
How will attribution and reporting change? Do we need new tools?
As identifiers disappear, user level attribution will lose accuracy. Multi touch models that depend on cross device tracking will undercount conversions and over credit last click interactions. The shift will favor media mix modeling (MMM), calibrated attribution, and incrementality testing. You do not need brand new tools yet, but you should start validating your measurement stack now and ensure data collection is privacy compliant and statistically resilient.
What should we start testing now? How much first-party data do we need?
Start by stress testing your current mix. Run experiments comparing audience based versus contextual buys. Map where your data gaps are and how your CRM or site registration strategy can fill them. There is no fixed quota of first-party data, but the stronger and more permissioned your audience relationships, the more stable your targeting and measurement will be when identifiers fade.
Will this roll out globally, and will others follow Google's lead?
Yes, though the pace will vary. Expect early rollout across Europe and North America, then expansion globally. Other demand side platforms (DSPs) will likely adopt similar privacy controls to stay compliant and competitive. In short, this is not just a Google move, it is the next step in the wider de identifier trend reshaping digital advertising.
POSTED BY: Lee Faulkner